Sentence examples for data reduction methods from inspiring English sources

These adoptions open new research avenues for interdisciplinary research and develop novel big data reduction methods.

In general, compression-based data reduction methods are convenient for reducing volume.

In this study, we presented a detailed discussion of these data reduction methods.

The measured values of G Ic for each specimen were close between data reduction methods.

Table 3 A qualitative comparison of the three data reduction methods discussed in this paper.

A thorough literature review and classification of big data reduction methods are presented.

The taxonomical discussion on big data reduction methods is presented in Sect.

This section presents the data reduction methods being applied in big data systems.

A comparison with different time-frequency data reduction methods is also given in this section.

The similarity-based big data reduction methods are good choice for network extraction and reduction.

In this context, different data reduction methods to estimate GIIC are compared.